activity
20172022
most citedFinding Strong Gravitational Lenses in the Kilo Degree Survey with Convolutional Neural Networks

187 citations · 500 across the 7 of their papers we have counts for

collaborators

7 papers

astro-ph.SR2022★ 1 cited

A Comparative Analysis of Machine-learning Models for Solar Flare Forecasting: Identifying High-performing Active Region Flare Indicators

Suvadip Sinha, Om Gupta, Vishal Singh +9

Solar flares create adverse space weather impacting space and Earth-based technologies. However, the difficulty of forecasting flares, and by extension severe space weather, is acc…

astro-ph.GA2020★ 77 cited

New high-quality strong lens candidates with deep learning in the Kilo Degree Survey

R. Li, N. R. Napolitano, C. Tortora +11

We report new high-quality galaxy scale strong lens candidates found in the Kilo Degree Survey data release 4 using Machine Learning. We have developed a new Convolutional Neural N…

astro-ph.GA2019★ 114 cited

LinKS: Discovering galaxy-scale strong lenses in the Kilo-Degree Survey using Convolutional Neural Networks

C. E. Petrillo, C. Tortora, G. Vernardos +17

We present a new sample of galaxy-scale strong gravitational-lens candidates, selected from 904 square degrees of Data Release 4 of the Kilo-Degree Survey (KiDS), i.e., the "Lenses…

astro-ph.GA2018★ 47 cited

Testing Convolutional Neural Networks for finding strong gravitational lenses in KiDS

C. E. Petrillo, C. Tortora, S. Chatterjee +7

Convolutional Neural Networks (ConvNets) are one of the most promising methods for identifying strong gravitational lens candidates in survey data. We present two ConvNet lens-find…

astro-ph.GA2018★ 33 cited

Probing sub-galactic mass structure with the power spectrum of surface-brightness anomalies in high-resolution observations of galaxy-galaxy strong gravitational lenses. II.Observational constraints on the sub-galactic matter power spectrum

D. Bayer, S. Chatterjee, L. V. E. Koopmans +5

Stringent observational constraints on the sub-galactic matter power spectrum would allow one to distinguish between the concordance CDM and the various alternative dark-matter…

astro-ph.CO2017★ 41 cited

The inner mass power spectrum of galaxies using strong gravitational lensing: beyond linear approximation

Saikat Chatterjee, Léon V. E. Koopmans

In the last decade the detection of individual massive dark matter sub-halos has been possible using potential correction formalism in strong gravitational lens imaging. Here we pr…